A Support Vector Machine finds a linear plane with maximum margin to separate two classes of output

Categorical input can be turned into numeric input as before and categorical output can be modeled as multiple binary output.

The strength of SVM is it can handle large number of dimensions. With the kernel function, it can handle non-linear relationship as well.

added 2012-03-14T14:43:53Z by anders